Hi there! I am a final-year Ph.D. candidate at the University of Queensland, supervised by Prof. Hongzhi Yin and Dr. Tong Chen.

Previously, from Jul. 2021 to Dec. 2021, I served as a research intern at Peking University, working under the guidance of Prof. Bin Cui and Dr. Wentao Zhang. I completed my M.S. and B.S. degrees in Information and Communications Engineering at Xi'an Jiaotong University, supervised by Prof. Zhibin Pan, with graduation years of 2021 and 2018, respectively.

Research Interests:

• Data-centric AI, Generative AI
• Graph Neural Networks, Network Analysis
• Efficient and Generalized Data Mining

News

Tutorial

Graph Condensation: Foundations, Methods and Prospects
The Web Conference Tutorials Track (WWW), 2025
Hongzhi Yin, Xinyi Gao, Junliang Yu, Ruihong Qiu, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang

Selected Publications

1. Graph Condensation: A Survey
   Transactions on Knowledge and Data Engineering (TKDE), 2025
   Xinyi Gao, Junliang Yu, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin

2. Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning
   ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), 2025
   Xinyi Gao, Yayong Li, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin

3. Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition
   ACM Web Conference (WWW), 2025
   Xinyi Gao, Guanhua Ye, Tong Chen, Wentao Zhang, Junliang Yu, Hongzhi Yin

4. RobGC: Towards Robust Graph Condensation
   Transactions on Knowledge and Data Engineering (TKDE), 2025
   Xinyi Gao, Hongzhi Yin, Tong Chen, Guanhua Ye, Wentao Zhang, Bin Cui

5. Graph Condensation for Open-World Graph Learning
   ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), 2024
   Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin

6. Graph Condensation for Inductive Node Representation Learning
   IEEE International Conference on Data Engineering (ICDE), 2024
   Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin

7. Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation
   IEEE International Conference on Data Engineering (ICDE), 2024
   Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin

8. Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks
   ACM International Conference on Information and Knowledge Management (CIKM), 2023
   Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Hung Quoc Viet Nguyen, Hongzhi Yin

9. BIM: Improving Graph Neural Networks with Balanced Influence Maximization
   IEEE International Conference on Data Engineering (ICDE), 2024
   Wentao Zhang, Xinyi Gao (co-first author), Ling Yang, Meng Cao, Jiulong Shan, Hongzhi Yin, Bin Cui

Preprint

1. A Comprehensive Survey on Imbalanced Data Learning
   Xinyi Gao, Dongting Xie, Yihang Zhang, Zhengren Wang, Conghui He, Hongzhi Yin, Wentao Zhang

Other Publications

1. Reversible Data Hiding for High Dynamic Range Images Using Two-Dimensional Prediction-Error Histogram of the Second Time Prediction
   Signal Processing, 2020
   Xinyi Gao, Zhibin Pan, Erdun Gao, Guojun Fan

2. Local Feature-Based Mutual Complexity for Pixel-Value-Ordering Reversible Data Hiding
   Signal Processing, 2023
   Xinyi Gao, Zhibin Pan, Guojun Fan, Xiaoran Zhang, Hongzhi Yin

3. Adaptive Complexity for Pixel-Value-Ordering Based Reversible Data Hiding
   IEEE Signal Processing Letters, 2020
   Zhibin Pan, Xinyi Gao, Erdun Gao, Guojun Fan

4. Reliable Node Similarity Matrix Guided Contrastive Graph Clustering
   Transactions on Knowledge and Data Engineering (TKDE), 2024
   Yunhui Liu, Xinyi Gao, Tieke He, Tao Zheng, Jianhua Zhao, Hongzhi Yin

5. Challenging Low Homophily in Social Recommendation
   ACM Web Conference (WWW), 2024
   Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin

6. Training-free Heterogeneous Graph Condensation via Data Selection
   IEEE International Conference on Data Engineering (ICDE), 2025
   Yuxuan Liang, Wentao Zhang, Xinyi Gao, Ling Yang, Chong Chen, Hongzhi Yin, Yunhai Tong, Bin Cui

7. FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis
   AAAI Conference on Artificial Intelligence (AAAI), 2025
   Guochen Yan, Luyuan Xie, Xinyi Gao, Wentao Zhang, Qingni Shen, Yuejian Fang, Zhonghai Wu

8. Efficient Traffic Prediction through Spatio-Temporal Distillation
   AAAI Conference on Artificial Intelligence (AAAI), 2025
   Qianru Zhang, Xinyi Gao, Haixin Wang, Siu Ming Yiu, Hongzhi Yin

9. Epidemiology-informed Network for Robust Rumor Detection
   ACM Web Conference (WWW), 2025
   Wei Jiang, Tong Chen, Xinyi Gao, Wentao Zhang, Lizhen Cui, Hongzhi Yin

10. Acceleration Algorithms in GNNs: A Survey
    Transactions on Knowledge and Data Engineering (TKDE), 2025
    Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Wentao Zhang, Bin Cui

11. ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems
    ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
    Zongwei Wang, Min Gao, Junliang Yu, Xinyi Gao, Quoc Viet Hung Nguyen, Shazia Sadiq, Hongzhi Yin

12. Progressive Stacking for Scalable Graph Condensation
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), 2025
    Yibing Bai, Min Gao, Zongwei Wang, Xinyi Gao, Wentao Li

Honors and Awards

• China National Scholarship, (Rank 1/113 in the School of Information and Communications Engineering, Xi’an Jiaotong University)

• China National Silver Award, “Challenge Cup” National Undergraduate Competition (National A Class Competition)